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- Publisher: Medical Information Science Reference
- ISBN-10: 1522558764
- ISBN-13: 9781522558767
- Format: 17.8 x 25.4 x 2.1 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Medical Image Processing for Improved Clinical Diagnosis (e-book) (used book) | bookbook.eu
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Description
In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Medical Information Science Reference
- ISBN-10: 1522558764
- ISBN-13: 9781522558767
- Format: 17.8 x 25.4 x 2.1 cm, kieti viršeliai
- Language: English English
In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.
Reviews